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ScriptDocs MCP Server

ScriptDocs MCP Server

ScriptDocs MCP Server

A Model Context Protocol (MCP) server that gives AI coding agents real, live, source-cited documentation for npm and PyPI packages — pulled directly from registry.npmjs.org and pypi.org at call time.

Built by ScriptMaster Labs.

What this actually does (and doesn't)

Every tool call makes a real HTTP request to the actual registry. There is no cached demo data, no fabricated example output, and no guessing. If a package or its docs can't be found, the tool returns an explicit error — never a plausible-looking made-up answer. Every successful response includes source_url and fetched_at so the caller can verify exactly where the data came from and how fresh it is.

Not yet built (honest status, not hype):

  • Payment/licensing (Stripe, API keys, usage tiers) — this is scaffolding work that needs your real Stripe account and pricing decisions. Nothing in this repo simulates a working payment system.

  • GitHub-source doc fetching beyond README/long-description (e.g. specific guide pages, versioned doc sites) — README/long-description only in v0.1.

Related MCP server: docs-mcp-server

Tools

Tool

What it does

docs_get_package_info

Live metadata: latest version, description, homepage, repo — npm, PyPI, or Cargo (crates.io), right now.

docs_get_readme

The verbatim README (npm), long description (PyPI), or README-derived text (Cargo — see note below) for a package/version.

docs_search_docs

Keyword search inside a package's real docs (any of the 3 ecosystems, optionally a specific version), returns verbatim matching snippets with context — not a summary.

docs_check_vulnerabilities

Checks a specific package+version against OSV.dev. When a fix exists, automatically fetches that fixed version's README in the same call — "here's what's wrong" and "here's what upgrading looks like," one round trip.

docs_resolve_library

Fuzzy name → real candidates, via npm's and crates.io's actual search APIs. PyPI has no official search API (confirmed: XML-RPC search was killed in 2022, never replaced) — calling this for PyPI returns an honest explanation, not a scraped or fabricated result.

Note on Cargo READMEs: crates.io stores READMEs pre-rendered as HTML, not the original markdown source — there's no raw-source endpoint. docs_get_readme/docs_search_docs return that HTML converted to plain text (tags stripped, entities decoded) — a mechanical transformation, not a summary; no content is invented or dropped.

Project layout

scriptdocs-mcp-server/
├── package.json
├── tsconfig.json
├── Dockerfile
├── src/
│   ├── index.ts          # server entry point, transport selection
│   ├── constants.ts
│   ├── types.ts
│   ├── services/
│   │   ├── npm.ts        # real npm registry client
│   │   ├── npmSearch.ts  # real npm search API (fuzzy resolution)
│   │   ├── pypi.ts       # real PyPI registry client (supports version pinning)
│   │   ├── cargo.ts      # real crates.io client (metadata, readme, search)
│   │   ├── osv.ts        # real OSV.dev vulnerability database client
│   │   ├── versionCompare.ts  # best-effort numeric version comparator
│   │   ├── access.ts     # founder always-free guarantee
│   │   └── docSearch.ts  # keyword/snippet extraction over fetched text
│   └── tools/
│       ├── getPackageInfo.ts
│       ├── getReadme.ts
│       ├── searchDocs.ts
│       ├── checkVulnerabilities.ts
│       └── resolveLibrary.ts
└── dist/                 # build output (git-ignored)

Run it locally (stdio — for Claude Desktop / Cursor)

npm install
npm run build
node dist/index.js

To wire it into Claude Desktop or Cursor, point their MCP config at:

{
  "mcpServers": {
    "scriptdocs": {
      "command": "node",
      "args": ["/absolute/path/to/scriptdocs-mcp-server/dist/index.js"]
    }
  }
}

Run it as a remote server (HTTP — for Render, same pattern as your other services)

npm install
npm run build
TRANSPORT=http PORT=3000 node dist/index.js
  • Health check: GET /health

  • MCP endpoint: POST /mcp

Deploy to Render

The included Dockerfile builds and runs the HTTP transport. Point a Render Web Service at this repo with:

  • Environment: Docker

  • Health check path: /health

This mirrors how mcp-x402 and squeezeos-api are already deployed.

Verified working (tested against live registries and APIs)

  • v0.3.1 fixed a real published-package bug: dist/index.js had no #!/usr/bin/env node shebang and wasn't marked executable, so running it as a bin (exactly what npx/Claude Code do) failed — on Linux with a shell syntax error, and this was very likely the cause of the "Failed to connect" a real Windows user hit via Claude Code. Root cause confirmed by directly executing the packed tarball's bin file before and after the fix, not assumed. postbuild now runs chmod +x dist/index.js so this can't silently regress.

  • docs_get_package_info → express (npm), serde (cargo) returned real current metadata straight from their respective registries.

  • docs_get_readme → zod (npm, jsDelivr fallback), requests (PyPI, latest + version-pinned), and serde (cargo) all returned real README content. The cargo path hit a real bug during testing — crates.io's README endpoint varies its response by Accept header and was returning a JSON pointer instead of HTML — caught and fixed, verified again after the fix.

  • docs_search_docs → keyword search over real docs verified across npm and cargo.

  • docs_check_vulnerabilities → express@4.17.1 correctly returned 2 real advisories (incl. CVE-2024-43796) and automatically fetched the real README for 4.20.0 (the fixed version) in the same call — the vuln-to-fix bridge, verified working end-to-end.

  • docs_resolve_library → real fuzzy search verified for npm ("react" → react, react-is, ...) and cargo ("http client" → real candidates). PyPI correctly returns an honest limitation message instead of a fabricated result (verified: PyPI has had no official search API since 2022).

  • Nonexistent package name → correctly returns an explicit isError: true response instead of fabricating a plausible answer.

  • Both stdio and TRANSPORT=http modes verified against the actual MCP JSON-RPC protocol (initialize, tools/list, tools/call).

Founder always-free guarantee

ScriptMaster Labs (you) always gets full, unmetered, free access to every tool this server exposes — no matter what paid tiers get built later. This is baked into the architecture now, before any billing exists, not retrofitted after the fact:

  • src/services/access.ts exports isOwnerRequest(), checked against a secret in the SCRIPTDOCS_OWNER_KEY environment variable (never hardcoded — this repo is public, so a hardcoded bypass would give everyone free access, not just you).

  • The HTTP transport already tags every request with an x-scriptdocs-access-tier response header (owner-unlimited or standard) — verified working, not just written.

  • Rule for any future billing/rate-limit code: call isOwnerRequest() first and skip all limits/charges when it returns true.

To use it once deployed: set SCRIPTDOCS_OWNER_KEY as an environment variable on your Render service, then send requests with header x-scriptdocs-owner-key: <that value>. Keep the value secret — it's not in this repo, and shouldn't be.

Getting listed as a real alternative (not hype — the actual mechanics)

There's no "beat Context7's ranking" button. There's one source-of-truth feed and a handful of directories that read from it. This is the real, current (as of July 2026) process, verified against the official docs at modelcontextprotocol.io/registry:

  1. The official MCP Registry (registry.modelcontextprotocol.io) is what a growing number of AI clients read to discover servers. There's no review queue — you publish a server.json record under a namespace you prove you own, and it's live.

  2. Discovery directories — Smithery, Glama, PulseMCP, mcp.so — crawl GitHub and the registry on their own. You may already show up there unclaimed once this is public; claiming ownership is what lets you control the description instead of a bot's guess.

What's already prepped in this repo

  • package.json has "mcpName": "io.github.Timwal78/scriptdocs-mcp-server" and is renamed to the scoped package @scriptmasterlabs/scriptdocs-mcp-server (under the existing @scriptmasterlabs org scope — same one publishing mcp-x402 and mcp-x402-sdk — rather than a personal scope, since this sits alongside your other MCP infrastructure)

  • server.json is written and validated against the real, live official schema (static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json) — not guessed at.

  • .github/workflows/publish-mcp.yml auto-publishes to npm and the MCP Registry every time you push a v* tag, using the official OIDC flow (no registry secret needed — just an NPM_TOKEN).

  • License changed from UNLICENSED to MIT — a package meant for strangers to install needs a license that actually lets them use it.

What only you can do (needs your accounts/credentials — I don't have them)

  1. Push this to a public GitHub repo at github.com/Timwal78/scriptdocs-mcp-server (or wherever you want it — update repository in package.json and server.json to match if the path differs).

  2. Add an NPM_TOKEN secret to that repo (Settings → Secrets → Actions) from an npm access token tied to your npm account.

  3. Tag and push a release: git tag v0.2.0 && git push origin v0.2.0 — the workflow handles npm publish + MCP Registry publish automatically from there.

  4. Claim your listing on Smithery, Glama, and PulseMCP once the registry record is live — they crawl and often list you automatically, but claiming moves you from "anonymous crawl result" to a verified, owner-controlled listing.

Being honest about "replacing Context7"

Context7 has real scale (tens of thousands of installs, broad ecosystem coverage) built over time. What actually makes a server "a viable alternative" in these registries isn't a claim in a README — it's real uptime, a working install, and accurate tool descriptions, which is what steps 1-4 above get you: correctly listed, discoverable, and functioning. Nothing here fabricates traction that doesn't exist yet.

Other next steps (your call)

  1. Licensing/monetization — needs your real Stripe/x402 decisions and pricing before anything gets built here. Research so far: Context7 (the main comparable) keeps public docs lookup free indefinitely and monetizes private-library support + team seats + compliance, not public lookups. Freemium dev-tools convert free→paid at 2-4% typically (8-12% is considered great).

  2. Private/internal library support — the one proven lever in this category (see above) — needs a hosted service (see #6 below), not yet built.

  3. PyPI fuzzy resolution — not buildable against PyPI's official API (confirmed: no search API has existed since 2022). Only real option is leaning on an unofficial third-party index/mirror, with the tradeoffs that implies.

  4. Go modules — metadata support (versions, checksums) would follow the same pattern as npm/PyPI/Cargo. Fuzzy resolution would not: confirmed proxy.golang.org has no search endpoint at all.

  5. Real relevance ranking (semantic search, not keyword substring) — buildable, but the real version needs an embeddings API (real ongoing cost) and a vector store — a spend decision, not built yet.

  6. Remote (HTTP) registry listing + hosted deployment — needed as the foundation for private-library support and any future rate limiting; server.json supports adding a remotes entry once this is deployed to Render with a public URL.

  7. Caching layer — currently every call hits the live registry fresh (correct for accuracy, but means repeated calls for the same package in one session re-fetch). A short in-memory TTL cache would cut latency without sacrificing truthfulness — not yet built.

Available Tools

5 tools
docs_check_vulnerabilitiesCheck Package VulnerabilitiesA
Read-onlyIdempotent

Check a real, specific package version against OSV.dev (Google-run, aggregates GitHub/PyPA/npm/RustSec advisories) — and, when a fix exists, automatically fetch that fixed version's README in the same call, so the result is "here's what's wrong" AND "here's exactly what upgrading looks like," not just a CVE list you have to research further yourself.

This is a live query against OSV.dev's public API for the exact package+version given. It never estimates or guesses risk — if OSV has no advisories on record for that version, this correctly reports zero vulnerabilities rather than implying danger that isn't documented. Note: this tool is more limited than dedicated vulnerability-intelligence tools (e.g. VulnCheck, Snyk) — it reports what OSV.dev has on file, not exploit activity or threat intelligence.

Args:

  • ecosystem ('npm' | 'pypi' | 'cargo')

  • package_name (string): exact package name

  • version (string, optional): specific version to check; defaults to the latest published version

  • include_fix_docs (boolean, default true): also fetch the README for the version that fixes the found vulnerabilities

Returns JSON with: vulnerability_count, vulnerabilities (array of {id, summary, severity, aliases, fixed_in, references}), recommended_fix (null, or {version, readme, truncated, source_url} for the version that resolves the found issues), source_url, fetched_at.

Error Handling:

  • Returns "Error: ..." if the package doesn't exist or OSV.dev can't be reached

  • vulnerability_count: 0 with an empty array is a normal, valid result — not an error

  • If fetching the fix's README fails, recommended_fix is null rather than the whole call failing — the vulnerability data itself is never withheld because of it

Inputs: ecosystem (required), package_name (required), version, include_fix_docs.

docs_get_package_infoGet Package InfoA
Read-onlyIdempotent

Fetch real, current metadata for a package directly from the npm registry, PyPI JSON API, or crates.io.

This tool makes a live HTTP request to the actual registry (registry.npmjs.org, pypi.org, or crates.io) at call time. It never returns cached, guessed, or simulated data — if the package doesn't exist, it returns an explicit error rather than a plausible-looking fabrication.

Args:

  • ecosystem ('npm' | 'pypi' | 'cargo'): which registry to query

  • package_name (string): exact package name, e.g. "zod", "fastapi", or "serde"

Returns JSON with: name, latest_version, description, homepage, repository, source_url (the exact registry URL the data came from, for verification), fetched_at (ISO timestamp).

Error Handling:

  • Returns "Error: package not found" if the registry has no such package

  • Returns "Error: registry request failed" on network/HTTP errors

Inputs: ecosystem (required), package_name (required).

docs_get_readmeGet Package READMEA
Read-onlyIdempotent

Fetch the real README/description for a package, straight from the registry — not a summary, not a paraphrase, not AI-generated.

For npm this reads the registry's stored README, falling back to the published README.md file via jsDelivr if the registry copy is missing (verbatim markdown). For PyPI this reads the exact long_description shown on the package's PyPI page (verbatim). For Cargo (Rust/crates.io) this reads crates.io's stored README — note: crates.io only stores a pre-rendered HTML version, not the original markdown source, so this is that HTML converted to plain text, not byte-for-byte source.

Args:

  • ecosystem ('npm' | 'pypi' | 'cargo')

  • package_name (string): exact package name

  • version (string, optional): specific version; defaults to latest

Returns JSON with: readme (truncated to 12000 chars if longer — check 'truncated'), truncated (boolean), source_url (exact URL fetched, for verification), fetched_at.

Error Handling:

  • Returns "Error: ..." if the package or its README cannot be found — never fabricates content to fill the gap.

Inputs: ecosystem (required), package_name (required), version.

docs_resolve_libraryResolve Library NameA
Read-onlyIdempotent

Turn a fuzzy or partial name into real, ranked candidate package names, using the registry's own live search index — not a guess at what the package is probably called.

For npm this queries registry.npmjs.org's actual search API (the same one npmjs.com uses). For Cargo this queries crates.io's real search endpoint. For PyPI: there is currently no official PyPI search API (XML-RPC search was permanently disabled in 2022 and never replaced) — calling this with ecosystem 'pypi' returns an explicit message saying so rather than a fabricated or scraped result, along with a suggestion to use the exact package name with docs_get_package_info instead.

Args:

  • ecosystem ('npm' | 'pypi' | 'cargo')

  • query (string): the name or description to resolve, e.g. "react" or "async http client"

  • max_results (number, 1-10, default 5)

Returns JSON with: candidates (array of {name, version, description, score, url}), source_url, fetched_at.

Error Handling:

  • ecosystem 'pypi' always returns an explanatory message, not an error and not fabricated results

  • Returns "Error: ..." only for actual npm/crates.io request failures

Inputs: query (required), ecosystem (required), max_results.

docs_search_docsSearch Package DocsA
Read-onlyIdempotent

Search for keywords inside a package's real README/docs and return verbatim matching snippets with surrounding context.

This does keyword matching over the actual fetched document (registry README for npm, long description for PyPI, README-derived text for Cargo) — it does not summarize or paraphrase, and it does not answer from general knowledge. If no matches are found, it says so rather than guessing at an answer.

Args:

  • ecosystem ('npm' | 'pypi' | 'cargo')

  • package_name (string): exact package name

  • query (string): keyword(s) to search for, e.g. "rate limit" or "async client"

  • max_snippets (number, 1-20, default 5): cap on returned matches

  • version (string, optional): specific version to search; defaults to latest

Returns JSON with: snippets (array of {match, context, line_hint}), source_url, fetched_at.

Error Handling:

  • Returns "Error: ..." if the package/docs can't be fetched

  • Returns an empty snippets array (not an error) if the docs were fetched successfully but the query has no matches

Inputs: query (required), ecosystem (required), package_name (required), version, +1 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A4.7/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clear, non-overlapping purpose: resolving names, fetching metadata, retrieving READMEs, searching within docs, and checking vulnerabilities. No two tools could be easily confused.

    Naming Consistency5/5

    All tools share the docs_ prefix and follow a consistent verb_noun pattern (check, get, get, search, resolve). The naming is uniform and predictable.

    Tool Count5/5

    Five tools is well-scoped for a focused documentation server covering metadata, README, search, name resolution, and vulnerability checks. Each tool earns its place with no redundancy.

    Completeness5/5

    The server covers the full workflow: resolving package names, fetching package info and READMEs, searching within docs, and checking vulnerabilities with fix documentation. No obvious gaps for the stated purpose.

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